The hierarchical classification of Web content by the combination of textual and visual features

This paper presents the hierarchical classification of Web content based on the combination of both textual and visual features. This combination is achieved by multiple classifier combination. A schema based on adaptive category weighting is proposed for achieving good combination, which has gained better results compared to the ordinary combination based on general voting schema.